Release 3.3.0: HAD estimator, profile_panel, dCDH by_path, SDID survey complete#368
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Release 3.3.0: HAD estimator, profile_panel, dCDH by_path, SDID survey complete#368
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… SDID survey across all variance methods Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Overall assessment✅ Looks good Executive summary
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Summary
diff_diff/__init__.py,pyproject.toml,rust/Cargo.toml,diff_diff/guides/llms-full.txt,CITATION.cff[Unreleased]→[3.3.0] - 2026-04-25; add comparison linkHighlights since 3.2.0
HeterogeneousAdoptionDiD(Phase 1a-3 + Phase 3 pretests + Phase 4.5 A continuous-dose survey + Phase 4.5 B mass-point 2SLS / event-study survey / sup-t bootstrap + Phase 4.5 C0 QUG-under-survey gate)profile_panel()+llms-autonomous.txtagent-facing reference guideby_pathper-path event-study disaggregation, includingn_bootstrap > 0percentile CIs; R-parity againstDIDmultiplegtDYN 2.3.3target_parameterblockMethodology references
Validation
by_pathper-path event-study disaggregation #357, Fix TROP local-method backend parity: drop Rust weight normalization + Python cache-fallthrough #358, HAD Phase 4.5: survey support on continuous-dose paths #359, dCDH by_path R-parity fixtures + TestDCDHDynRParityByPath #360, HAD Phase 4.5 B: weighted mass-point 2SLS + event-study survey composition + sup-t bootstrap #363, dCDH by_path + n_bootstrap support (library-consistent percentile CI) #364, Restore SDID survey support for placebo and jackknife variance methods #365, HAD Phase 4.5 C0: QUG-under-survey decision gate #367 — see CHANGELOG `[3.3.0]` for full list)Security / privacy
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